This protein functions as a specific nuclear import carrier for HSP70 proteins following heat shock stress. It mediates the nucleoporin-dependent translocation of ATP-bound HSP70 proteins into the nucleus. This HSP70 import is crucial for protecting cells from heat shock-induced damage.
KEGG: gga:427034
UniGene: Gga.5789
The C11orf73 homolog (also referred to as C11ORF73 in some literature) appears to play a significant role in cellular processes related to lysosomal function and mTOR signaling. Research indicates that wild type C11ORF73 constructs have the ability to promote lysosome-related S6 and 4E-BP1 phosphorylation, which is essential for cellular differentiation processes . In neural cells specifically, this protein may contribute to oligodendrocyte differentiation and myelination through its effects on mTOR signaling pathways .
Methodologically, researchers investigating this protein's function typically employ:
Plasmid constructions encoding the full-length gene
Transfection of appropriate cell lines (such as FBD-102b oligodendroglial cells)
Assessment of downstream signaling effects through phosphorylation assays
Cellular localization studies using fluorescent tagging
When expressing and purifying this protein, researchers should consider the following methodological approach:
Gene amplification and vector construction:
Expression system selection:
Purification strategy:
For tagged proteins: Use sequential affinity chromatography (e.g., with FLAG-tag and His-tag in tandem)
Employ cell lysis with appropriate buffers (e.g., RIPA Buffer: 50 mM sodium phosphate, pH 7.4, 1 mM MgCl₂, 150 mM NaCl, 1% Nonidet P-40, 0.8% deoxycholate)
While specific expression data for the chicken homolog is limited in the provided search results, related research on mammalian C11orf73 suggests:
Expression in neural tissues, particularly in oligodendrocytes
Potential expression in multiple tissues based on its role in fundamental cellular processes
Subcellular localization primarily in lysosomes for wild-type protein
For researchers studying tissue distribution:
Consider using RT-PCR or RNA-Seq across multiple chicken tissues to establish expression profiles
Employ immunohistochemistry with specific antibodies against the chicken homolog
Develop tissue-specific conditional knockout models to evaluate function in particular tissues
Based on studies of mammalian C11orf73, mutations can significantly alter protein function. To analyze mutations in the chicken homolog:
Site-directed mutagenesis methodology:
Use the wild-type chicken C11orf73 homolog as a template
Design primers incorporating desired mutations (based on conservation with human mutations like C4S or V54L)
Employ a site-directed mutagenesis kit according to manufacturer's instructions
Functional analysis approach:
Compare cellular localization of wild-type and mutant proteins using fluorescent tags
Assess impact on lysosomal function through markers of lysosomal activity
Evaluate downstream signaling effects, particularly mTOR pathway components
Quantify protein-protein interactions through co-immunoprecipitation
Researchers should pay particular attention to mutations equivalent to human C4S (Cys4-to-Ser) and V54L (Val54-to-Leu), as these have demonstrated significant phenotypic effects in mammalian studies .
Mass spectrometry-based identification of protein interaction partners provides crucial insights into protein function. Based on methodologies used for similar proteins:
Recommended proteomics workflow:
Sample preparation:
Protein digestion and peptide preparation:
Mass spectrometry analysis:
The table below summarizes comparative proteomics approaches that can be applied to C11orf73 homolog research:
| Method | Advantages | Peptide Detection | Protein Identification | Typical Workflow |
|---|---|---|---|---|
| 2-D method | Standard approach | Good for abundant proteins | X corr ≥ 1.8 (+1); 2.1 (+2); 3.25 (+3) | Protein extraction → 2D separation → MS analysis |
| 3-D method | Enhanced sensitivity | Improved detection of low-abundance peptides | Same cutoffs, but enables identification of additional peptides | Protein extraction → Multiple fractionation steps → MS analysis |
| GeLC-MS/MS | High coverage | Combines gel separation with MS | Identifies 7-13% more proteins | Gel separation → In-gel digestion → LC-MS/MS |
Data adapted from comparative proteomics studies
For functional studies of C11orf73 homolog, gene silencing provides valuable insights:
RNA interference (RNAi) approach:
Design siRNAs targeting conserved regions of chicken C11orf73 homolog
Transfect primary chicken cells or chicken cell lines using optimized protocols
Confirm knockdown efficiency by qRT-PCR and Western blot
Assess phenotypic changes in cellular processes including lysosomal function and mTOR signaling
CRISPR-Cas9 methodology for knockout studies:
Design guide RNAs targeting early exons of chicken C11orf73
Validate guide RNA efficiency in chicken cell lines
For in vivo studies, consider embryonic manipulation techniques specific to avian models
Verify knockout by sequencing and protein expression analysis
Phenotypic assessment protocol:
Evaluate changes in cellular morphology and viability (use trypan blue exclusion test)
Analyze lysosomal function using specific markers and activity assays
Assess mTOR pathway components through phosphorylation status
Perform cellular differentiation assays if working with relevant cell types
Based on mammalian studies, C11orf73 appears to influence mTOR signaling pathways. To investigate this in the chicken homolog:
Signaling pathway analysis methodology:
Establish stable cell lines expressing wild-type or mutant chicken C11orf73 homolog
Use G418 selection (0.1250 mg/mL) to isolate stable transfectants over approximately 14 days
Compare G418-resistant colonies for phenotypic differences against control cells
Specific signaling assays:
mTOR pathway components:
Evaluate phosphorylation status of S6 and 4E-BP1 proteins by Western blot
Quantify changes under various cellular conditions (starvation, stimulation)
Compare wild-type vs. mutant protein effects on signaling dynamics
Interaction with cytoskeletal proteins:
When designing experiments for this relatively uncharacterized protein, researchers should implement:
Experimental design framework:
Define clear research questions and hypotheses
Formulate specific questions about protein function, interactions, or effects
Develop testable hypotheses based on mammalian C11orf73 literature
Select appropriate controls
Include empty vector controls for expression studies
Use scrambled siRNA or non-targeting CRISPR guides for knockdown/knockout studies
Consider species-specific positive controls for signaling pathway studies
Variable management
Control for transfection efficiency variations between experiments
Maintain consistent cell passage numbers
Standardize expression levels when comparing wild-type and mutant proteins
Replication strategy
When faced with contradictory results:
Data contradiction resolution methodology:
Systematic verification of experimental conditions
Assess whether differences in cell types, expression levels, or assay conditions could explain discrepancies
Verify reagent quality and specificity, particularly antibodies
Sequential hypothesis refinement
Develop alternative hypotheses that could explain contradictory findings
Design critical experiments to distinguish between competing hypotheses
Analytical approaches for reconciling discrepancies
Perform meta-analysis of multiple experimental replicates
Consider whether contradictions reflect genuine biological variability or technical artifacts
Evaluate whether conflicting observations might represent context-dependent protein functions
Statistical considerations
Statistical analysis framework:
For protein expression and localization studies:
Quantify fluorescence intensity using image analysis software
Compare distributions using appropriate parametric or non-parametric tests
Consider spatial statistics for co-localization analyses
For signaling pathway analyses:
Use repeated measures ANOVA for time-course experiments
Apply multiple comparison corrections (e.g., Bonferroni, Tukey's HSD) when testing multiple conditions
Employ multivariate analysis for complex multi-pathway datasets
For protein-protein interaction studies:
Calculate enrichment ratios compared to appropriate controls
Apply statistical filters (p-value, fold change) to identify high-confidence interactors
Consider Bayesian approaches for integration of multiple datasets
Sample size considerations:
For researchers interested in comparative studies:
Comparative analysis methodology:
Sequence comparison approach:
Structure prediction methodology:
Generate structural models using homology modeling
Validate models through energy minimization and Ramachandran plot analysis
Identify potential functional sites through structural analysis
Functional conservation assessment:
Test whether chicken C11orf73 can complement mutations in mammalian cells
Compare subcellular localization patterns across species
Analyze conservation of protein-protein interactions
The table below illustrates a hypothetical comparison of key features between chicken and human C11orf73:
| Feature | Human C11orf73 | Chicken C11orf73 Homolog | Conservation |
|---|---|---|---|
| Size (amino acids) | Variable by isoform | Specific to chicken isoform | Moderate |
| Key domains | Lysosomal targeting sequences | Predicted similar domains | High in functional regions |
| Critical residues | Cys4, Val54 | Corresponding residues based on alignment | High |
| Cellular localization | Lysosomal | Predicted similar | To be determined |
| mTOR pathway interaction | Promotes S6/4E-BP1 phosphorylation | Predicted similar function | To be determined |
Evolutionary analysis methodology:
Phylogenetic analysis:
Construct phylogenetic trees using maximum likelihood or Bayesian methods
Analyze rates of evolution in different protein domains
Identify signatures of selection acting on specific regions
Functional complementation studies:
Express chicken C11orf73 in mammalian cells with endogenous C11orf73 knockdown
Assess rescue of phenotypes associated with loss of mammalian protein
Compare wild-type and mutant forms in cross-species complementation
Synteny analysis:
Evaluate conservation of genomic context around C11orf73 locus
Identify conserved regulatory elements
Assess co-evolution with interacting partners
Mass spectrometry (MS) provides critical insights into protein interactions and modifications:
MS optimization methodology:
Sample preparation refinement:
Digestion protocol optimization:
MS data acquisition strategy:
Data analysis considerations:
Apply appropriate filtering to identify high-confidence peptides
Compare results across biological replicates
Validate key interactions through orthogonal methods (co-IP, proximity labeling)
Based on knowledge of mammalian C11orf73:
Cell-based functional assay methodology:
Lysosomal function assays:
Measure lysosomal enzyme activity in cells expressing wild-type vs. mutant protein
Assess lysosomal pH using appropriate indicators
Evaluate autophagy flux through LC3 conversion and p62 degradation
mTOR signaling pathway analysis:
Quantify phosphorylation of S6 and 4E-BP1 through Western blot or ELISA
Measure effects on protein synthesis using puromycin incorporation
Assess mTOR localization and activity under various cellular conditions
Cell viability and morphology assessments:
Research on C11orf73 homologs has implications for understanding human diseases:
Translational research methodology:
Disease model development:
Establish chicken models with mutations corresponding to human disease variants
Validate phenotypes that recapitulate aspects of human disorders
Use comparative analyses to identify conserved disease mechanisms
Therapeutic target evaluation:
Assess whether interventions targeting C11orf73-related pathways show efficacy
Evaluate effects on downstream signaling in disease models
Consider species differences when extrapolating findings to human contexts
Biomarker identification approach:
Identify changes in protein expression or modification associated with dysfunction
Evaluate whether such changes could serve as disease biomarkers
Validate findings across multiple model systems
The importance of careful methodological approach in translational studies is underscored by observations in human disease research, where infantile leukoencephalopathy-associated mutations in C11ORF73 demonstrate specific effects on lysosomal function and mTOR signaling .
For developmental studies:
Developmental biology research methodology:
Temporal expression analysis:
Profile C11orf73 homolog expression across developmental stages
Use RT-qPCR, RNA-Seq, or in situ hybridization for spatiotemporal patterns
Compare with known developmental markers
Conditional manipulation approach:
Develop systems for stage-specific or tissue-specific manipulation
Consider electroporation techniques for chicken embryo studies
Evaluate effects on tissue development and differentiation
Signaling pathway integration:
Assess how C11orf73 homolog interacts with known developmental pathways
Focus particularly on mTOR signaling components
Investigate potential roles in cell fate determination and differentiation